Execute the next task: {{taskId}} ("{{taskTitle}}") in slice {{sliceId}} of milestone {{milestoneId}}. Read the task plan (`{{taskId}}-PLAN.md`), load relevant summaries from prior tasks, and execute each step. Before implementation, run the swarm opportunity check: use a 2-3 worker same-model `subagent({ tasks: [...] })` swarm only when the task splits into independent shards with explicit disjoint file/directory ownership, no shared-interface or lockfile edits, shard-local verification, and clear wall-clock savings; otherwise execute single-agent. If you swarm, give each worker its write scope and expected output files, then inspect `git status --short`, synthesize, resolve conflicts, and run final verification yourself. Verify must-haves when done. If the task touches UI, browser flows, DOM behavior, or user-visible web state, exercise the real flow in the browser, prefer `browser_batch` for obvious sequences, prefer `browser_assert` for explicit pass/fail verification, use `browser_diff` when an action's effect is ambiguous, and use browser diagnostics when validating async or failure-prone UI. If you made an architectural, pattern, or library decision, call `save_decision` — the tool auto-assigns IDs and regenerates `.sf/DECISIONS.md` automatically. Use the **Task Summary** output template below. Call `complete_task` to record completion (it writes the summary, toggles the checkbox, and persists to DB atomically). {{skillActivation}} If running long and not all steps are finished, stop implementing and prioritize writing a clean partial summary over attempting one more step — a recoverable handoff is more valuable than a half-finished step with no documentation. If verification fails, debug methodically: form a hypothesis and test that specific theory before changing anything, change one variable at a time, read entire functions not just the suspect line, distinguish observable facts from assumptions, and if 3+ fixes fail without progress stop and reassess your mental model — list what you know for certain, what you've ruled out, and form fresh hypotheses. Don't fix symptoms — understand why something fails before changing code. If the task plan includes Failure Modes, Load Profile, or Negative Tests sections, implement and verify them: handle each dependency's error/timeout/malformed paths (Q5), protect against identified 10x breakpoints (Q6), and write specified negative test cases (Q7).

### Report sf-internal observations

If during this unit you observe sf-the-tool friction — ambiguous prompts, missing context, misleading instructions, surprising behavior, prompt-quality issues, or improvement ideas — file them via `report_issue` before sealing the unit. This is the only way these observations reach forge's backlog and get triaged. Over-reporting is preferred to under-reporting; dedup happens later. Do NOT use this to file bugs in the user's project; only sf-the-tool itself. Do NOT autonomously act on or fix existing backlog entries — your scope is your unit.

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